vswift
mlr3
| vswift | mlr3 | |
|---|---|---|
| 1 | 1 | |
| 1 | 883 | |
| - | 1.1% | |
| 8.9 | 7.9 | |
| about 1 month ago | 1 day ago | |
| R | R | |
| MIT License | GNU Lesser General Public License v3.0 only |
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vswift
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Seeking Feedback on my R Package for Categorical Model Validation
Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift
mlr3
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Trying to create a KNN model, takes too long!!
mlr3 would be a competing modern framework to tidymodels that is also used. I know little about it except that it exists.
What are some alternatives?
mlr3learners - Recommended learners for mlr3
Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️
miceRanger - miceRanger: Fast Imputation with Random Forests in R
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
texreg - Conversion of R Regression Output to LaTeX or HTML Tables
machine_learning_basics - Plain python implementations of basic machine learning algorithms
r-naive-bayes-showcase - Naive Bayes classifier in R
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.